Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...
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Objective: This study aims to develop a comprehensive sepsis knowledge graph by leveraging the capabilities of LLMs, specifically GPT-4.0, in conjunction with multicenter clinical databases. The goal ...
Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...
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Abstract: Graph databases are a powerful solution for analyzing complex networks in various domains, including social media and supply chain management. This description presents a web application ...